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[FreeAllCourse.Com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
  • 38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB
[磁力链接] 添加时间:2021-03-21 大小:6.4 GB 最近下载:2025-10-22 热度:1174

Udemy - Complete A.I. & Machine Learning, Data Science Bootcamp (5.2024)

  • 9 - Scikitlearn Creating Machine Learning Models/118 - NEW Choosing The Right Model For Your Data.mp4 456.8 MB
  • 5 - Data Science Environment Setup/42 - Windows Environment Setup 2.mp4 437.7 MB
  • 9 - Scikitlearn Creating Machine Learning Models/141 - NEW Evaluating A Model With Cross Validation and Scoring Parameter.mp4 431.1 MB
  • 16 - Career Advice Extra Bits/274 - CWD Git Github.mp4 379.9 MB
  • 9 - Scikitlearn Creating Machine Learning Models/108 - Typical scikitlearn Workflow.mp4 353.1 MB
  • 9 - Scikitlearn Creating Machine Learning Models/109 - Optional Debugging Warnings In Jupyter.mp4 338.1 MB
  • 16 - Career Advice Extra Bits/268 - What If I Dont Have Enough Experience.mp4 327.8 MB
  • 9 - Scikitlearn Creating Machine Learning Models/144 - Tuning Hyperparameters.mp4 325.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/245 - Training Your Deep Neural Network.mp4 311.8 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/187 - Feature Engineering.mp4 305.5 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/247 - Make And Transform Predictions.mp4 292.6 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/234 - Turning Data Into Batches 2.mp4 279.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/188 - Turning Data Into Numbers.mp4 279.2 MB
  • 5 - Data Science Environment Setup/39 - Mac Environment Setup.mp4 274.4 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/198 - Preproccessing Our Data.mp4 271.9 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/200 - Feature Importance.mp4 266.9 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/250 - Visualizing And Evaluate Model Predictions 2.mp4 266.6 MB
  • 12 - Milestone Project 2 Supervised Learning Time Series Data/185 - Exploring Our Data.mp4 264.2 MB
  • 14 - Neural Networks Deep Learning Transfer Learning and TensorFlow 2/253 - Training Model On Full Dataset.mp4 263.9 MB
  • 11 - Milestone Project 1 Supervised Learning Classification/165 - Finding Patterns 3.mp4 261.1 MB
[磁力链接] 添加时间:2025-07-14 大小:32.6 GB 最近下载:2025-11-05 热度:1161

[Tutorialsplanet.NET] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

  • 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
  • 36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.vtt 55.5 MB
  • 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
  • 39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
  • 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
  • 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
  • 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
  • 18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
  • 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
  • 39. XGBoost/4. XGBoost in R.mp4 49.6 MB
  • 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
  • 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
  • 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
  • 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
  • 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
  • 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
  • 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
  • 16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
  • 24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
[磁力链接] 添加时间:2021-03-08 大小:6.8 GB 最近下载:2025-11-02 热度:1157

[ FreeCourseWeb.com ] Udemy - Julia Programming For Data Science & Machine Learning - Julia.zip

  • [ FreeCourseWeb.com ] Udemy - Julia Programming For Data Science & Machine Learning - Julia.zip 1.2 GB
[磁力链接] 添加时间:2021-03-16 大小:1.2 GB 最近下载:2025-09-16 热度:1149

Udemy - Machine Learning, Data Science and Generative AI with Python (1.2025)

  • 13. The OpenAI API (Developing with GPT and ChatGPT)/7. The New OpenAI Fine-Tuning API Fine-Tuning GPT-3.5 to simulate Commander Data!.mp4 334.5 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/4. Activity Evaluating our RAG-based Cdr. Data using RAGAS and langchain.mp4 283.9 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/8. Activity Simulating Cdr. Data with Advanced RAG and langchain.mp4 277.3 MB
  • 14. Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents/10. Activity Building a Cdr. Data chatbot with LLM Agents, web search & math tools.mp4 276.6 MB
  • 13. The OpenAI API (Developing with GPT and ChatGPT)/6. Demo Fine-Tuning OpenAI's Davinci Model to simulate Data from Star Trek.mp4 174.6 MB
  • 11. Generative Models/2. Variational Auto-Encoders (VAE) - Hands-on with Fashion MNIST.mp4 156.1 MB
  • 08. Apache Spark Machine Learning on Big Data/3. Activity Installing Spark.mp4 148.2 MB
  • 08. Apache Spark Machine Learning on Big Data/7. Introduction to Decision Trees in Spark.mp4 140.5 MB
  • 11. Generative Models/5. Generative Adversarial Networks (GAN's) - Hands-on with Fashion MNIST.mp4 132.2 MB
  • 06. More Data Mining and Machine Learning Techniques/6. Reinforcement Learning.mp4 131.3 MB
  • 05. Recommender Systems/5. Activity Making Movie Recommendations with Item-Based Collaborative Filtering.mp4 130.1 MB
  • 10. Deep Learning and Neural Networks/17. The Ethics of Deep Learning.mp4 126.4 MB
  • 08. Apache Spark Machine Learning on Big Data/8. Activity K-Means Clustering in Spark.mp4 121.8 MB
  • 10. Deep Learning and Neural Networks/14. Activity Transfer Learning.mp4 116.4 MB
  • 10. Deep Learning and Neural Networks/6. Activity Using Tensorflow, Part 1.mp4 112.9 MB
  • 02. Statistics and Probability Refresher, and Python Practice/4. Activity Variation and Standard Deviation.mp4 108.4 MB
  • 01. Getting Started/5. Activity WINDOWS Installing and Using Anaconda & Course Materials.mp4 106.9 MB
  • 02. Statistics and Probability Refresher, and Python Practice/9. Activity Advanced Visualization with Seaborn.mp4 100.8 MB
  • 01. Getting Started/6. Activity MAC Installing and Using Anaconda & Course Materials.mp4 100.4 MB
  • 10. Deep Learning and Neural Networks/7. Activity Using Tensorflow, Part 2.mp4 99.7 MB
[磁力链接] 添加时间:2025-06-14 大小:8.4 GB 最近下载:2025-11-03 热度:1097

Udemy - Python for Data Science and Machine Learning Bootcamp (5.2020)

  • 25. Neural Nets and Deep Learning/31. Tensorboard.mp4 151.2 MB
  • 25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
  • 25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
  • 25. Neural Nets and Deep Learning/27. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
  • 25. Neural Nets and Deep Learning/21. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
  • 25. Neural Nets and Deep Learning/25. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
  • 25. Neural Nets and Deep Learning/26. Keras Project Solutions - Categorical Data.mp4 89.5 MB
  • 25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
  • 14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
  • 25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
  • 25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
  • 25. Neural Nets and Deep Learning/19. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
  • 25. Neural Nets and Deep Learning/15. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
  • 25. Neural Nets and Deep Learning/30. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
  • 26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Neural Nets and Deep Learning/8. Activation Functions.mp4 65.6 MB
  • 26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 25. Neural Nets and Deep Learning/11. Backpropagation.mp4 60.8 MB
[磁力链接] 添加时间:2025-04-23 大小:5.4 GB 最近下载:2025-11-05 热度:1094

[DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

  • 09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
  • 04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
  • 09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
  • 02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
  • 06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
  • 03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
  • 09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
  • 03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
  • 04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
  • 05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
  • 05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
  • 07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
  • 06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
  • 03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
  • 01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
  • 05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
  • 06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
  • 02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
  • 04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
  • 02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB
[磁力链接] 添加时间:2021-04-23 大小:429.2 MB 最近下载:2025-11-02 热度:1074

[FreeCourseLab.com] Udemy - Introduction to Machine Learning for Data Science

  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Foundations of Machine Learning and Data Science - Algorithms, concepts and more.mp4 127.2 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Introduction and Setup.mp4 125.6 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/4. A Titanic Example - Preparing the right data and applying a basic algorithm.mp4 120.1 MB
  • 13. Section 7 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Conclusions - for our Titanic Example, important concepts and where to go next!.mp4 106.3 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Pandas and Matplotlib.mp4 103.8 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. What will we cover!.mp4 101.0 MB
  • 9. Section 3 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Hands on Running Python.mp4 100.0 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introducing the essential modules for Machine Learning, and NumPy Basics.mp4 99.5 MB
  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Foundations of Machine Learning and Data Science - Definitions and concepts..mp4 99.0 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/1. A Titanic Example - Getting our start..mp4 93.1 MB
  • 11. Section 5 -Bonus course - Machine Learning in Python and Jupyter for Beginners/3. Analysis using Pandas, plotting in Matplotlib, intro to SciPy and Scikit-learn.mp4 87.8 MB
  • 7. Section 1 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Introduction and Anaconda Installation.mp4 81.6 MB
  • 10. Section 4 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Foundations of Machine Learning and Data Science - Machine Learning Workflow.mp4 79.3 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/2. A Titanic Example - Understanding the data set..mp4 77.0 MB
  • 3. Impacts, Importance and examples/3. Computers exploding! - The explosive growth of computer power explained..mp4 76.0 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/2. Crash course in Python - Strings, Slices and Lists!.mp4 70.7 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/1. Crash course in Python - Beginning concepts.mp4 64.6 MB
  • 8. Section 2 -Bonus course - Machine Learning in Python and Jupyter for Beginners/4. Crash course in Python - Functions, Scope, Dictionaries and more!.mp4 59.8 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/6. A Titanic Example - Applying Decision Trees (example of overfit and underfit).mp4 58.9 MB
  • 12. Section 6 - Bonus course - Machine Learning in Python and Jupyter for Beginners/3. A Titanic Example - Understanding the data set in regards to survival.mp4 57.4 MB
[磁力链接] 添加时间:2021-04-29 大小:2.6 GB 最近下载:2025-09-13 热度:1072

[FreeCourseSite.com] Udemy - Linear Programming for Data Science and Machine Learning

  • 3 - Linear Inequality/10 - Detailed Examples.mp4 339.2 MB
  • 3 - Linear Inequality/9 - Solution and Graphing of Linear Inequalities.mp4 288.6 MB
  • 4 - Linear Programming/12 - Optimal solution and objective function.mp4 275.6 MB
  • 4 - Linear Programming/11 - Linear Programming.mp4 271.0 MB
  • 3 - Linear Inequality/7 - Examples.mp4 120.7 MB
  • 2 - Coordinate System/2 - What is coordinate axis.mp4 41.3 MB
  • 2 - Coordinate System/4 - Drawing a linear graph.mp4 38.9 MB
  • 2 - Coordinate System/3 - Coordinate points of straight line.mp4 37.9 MB
  • 3 - Linear Inequality/5 - What are Linear Inequalities.mp4 35.8 MB
  • 1 - Introduction/1 - Introduction.mp4 28.5 MB
  • 3 - Linear Inequality/6 - Graphing Linear Inequalities.mp4 19.4 MB
  • 3 - Linear Inequality/8 - Example 2.mp4 15.5 MB
  • 4 - Linear Programming/12 - Optimal solution and objective function English.vtt 45.2 kB
  • 3 - Linear Inequality/10 - Detailed Examples English.vtt 44.8 kB
  • 3 - Linear Inequality/9 - Solution and Graphing of Linear Inequalities English.vtt 41.5 kB
  • 4 - Linear Programming/11 - Linear Programming English.vtt 39.2 kB
  • 3 - Linear Inequality/7 - Examples English.vtt 31.9 kB
  • 3 - Linear Inequality/5 - What are Linear Inequalities English.vtt 9.1 kB
  • 2 - Coordinate System/2 - What is coordinate axis English.vtt 7.8 kB
  • 2 - Coordinate System/3 - Coordinate points of straight line English.vtt 6.6 kB
[磁力链接] 添加时间:2023-12-26 大小:1.5 GB 最近下载:2025-10-30 热度:1037

[ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip

  • [ FreeCourseWeb.com ] Udemy - Data Science and Machine Learning Mathematics and Statistics.zip 6.3 GB
[磁力链接] 添加时间:2022-03-01 大小:6.3 GB 最近下载:2025-11-03 热度:1019

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 23 Hierarchical Clustering/004 Hierarchical Clustering - Coding Part Two - Scikit-Learn.mp4 218.8 MB
  • 05 Pandas/028 Pandas Project Exercise Solutions.mp4 181.0 MB
  • 13 Logistic Regression/016 Logistic Regression Project Exercise - Solutions.mp4 152.6 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/004 Capstone Project Solutions - Part Three.mp4 143.9 MB
  • 17 Random Forests/007 Coding Classification with Random Forest Classifier - Part Two.mp4 136.7 MB
  • 05 Pandas/026 Pandas Pivot Tables.mp4 135.0 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/007 DBSCAN - Outlier Project Exercise Solutions.mp4 134.2 MB
  • 11 Feature Engineering and Data Preparation/003 Dealing with Outliers.mp4 126.5 MB
  • 11 Feature Engineering and Data Preparation/005 Dealing with Missing Data _ Part Two - Filling or Dropping data based on Rows.mp4 123.3 MB
  • 16 Tree Based Methods_ Decision Tree Learning/008 Coding Decision Trees - Part Two -Creating the Model.mp4 121.5 MB
  • 23 Hierarchical Clustering/003 Hierarchical Clustering - Coding Part One - Data and Visualization.mp4 120.4 MB
  • 07 Seaborn Data Visualizations/002 Scatterplots with Seaborn.mp4 116.5 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/002 DBSCAN - Theory and Intuition.mp4 114.4 MB
  • 20 Naive Bayes Classification and Natural Language Processing (Supervised Learning)/010 Text Classification Project Exercise Solutions.mp4 113.3 MB
  • 22 K-Means Clustering/011 K-Means Clustering Exercise Solution - Part Two.mp4 113.1 MB
  • 08 Data Analysis and Visualization Capstone Project Exercise/003 Capstone Project Solutions - Part Two.mp4 111.4 MB
  • 06 Matplotlib/011 Matplotlib Exercise Questions - Solutions.mp4 111.0 MB
  • 07 Seaborn Data Visualizations/014 Seaborn Plot Exercises Solutions.mp4 110.8 MB
  • 11 Feature Engineering and Data Preparation/006 Dealing with Missing Data _ Part 3 - Fixing data based on Columns.mp4 110.4 MB
  • 24 DBSCAN - Density-based spatial clustering of applications with noise/005 DBSCAN - Hyperparameter Tuning Methods.mp4 110.2 MB
[磁力链接] 添加时间:2022-01-17 大小:11.3 GB 最近下载:2025-10-26 热度:1018

[DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp

  • [DesireCourse.Net] Udemy - Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
  • [FreeCourseWorld.Com].url 54 Bytes
  • [DesireCourse.Net].url 51 Bytes
[磁力链接] 添加时间:2021-03-06 大小:18.1 GB 最近下载:2025-10-04 热度:1010

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

  • 5. Pandas/28. Pandas Project Exercise Solutions.mp4 190.4 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
  • 5. Pandas/26. Pandas Pivot Tables.mp4 135.0 MB
  • 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
  • 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
  • 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
  • 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
  • 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
  • 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
  • 4. NumPy/2. NumPy Arrays.mp4 115.0 MB
  • 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4 111.8 MB
  • 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4 111.0 MB
  • 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4 108.2 MB
  • 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4 106.9 MB
  • 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4 104.9 MB
  • 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp4 103.6 MB
  • 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp4 103.3 MB
  • 5. Pandas/13. Missing Data - Pandas Operations.mp4 102.6 MB
  • 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp4 101.4 MB
[磁力链接] 添加时间:2021-03-10 大小:6.9 GB 最近下载:2025-10-27 热度:1007

[ FreeCourseWeb.com ] Udemy - Machine Learning Entrepreneurship - Applied Data Science.zip

  • [ FreeCourseWeb.com ] Udemy - Machine Learning Entrepreneurship - Applied Data Science.zip 2.4 GB
[磁力链接] 添加时间:2021-05-07 大小:2.4 GB 最近下载:2025-10-28 热度:981

GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip

  • GetFreeCourses.Co-Udemy-Complete 2020 Data Science & Machine Learning Bootcamp.zip 18.1 GB
[磁力链接] 添加时间:2021-05-10 大小:18.1 GB 最近下载:2025-10-29 热度:978

[DesireCourse.Net] Udemy - Python for Data Science and Machine Learning Bootcamp

  • 26. Neural Nets and Deep Learning/8. Tensorflow Estimators.mp4 164.3 MB
  • 26. Neural Nets and Deep Learning/10. Deep Learning Project - Solutions.mp4 99.2 MB
  • 26. Neural Nets and Deep Learning/7. MNIST - Part Two.mp4 98.7 MB
  • 2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
  • 27. APPENDIX OLD TENSORFLOW VIDEOS (Version 0.8)/1. TensorFlow Installation.mp4 72.6 MB
  • 25. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
  • 25. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
  • 26. Neural Nets and Deep Learning/6. MNIST - Part One.mp4 61.2 MB
  • 25. Big Data and Spark with Python/12. RDD Transformations and Actions.mp4 58.4 MB
  • 18. K Nearest Neighbors/4. KNN Project Solutions.mp4 55.2 MB
  • 1. Course Introduction/3.1 Py_DS_ML_Bootcamp-master.zip.zip 55.0 MB
  • 2. Environment Set-Up/1.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 3. Jupyter Overview/2.1 Py-DS-ML-Bootcamp-master.zip.zip 55.0 MB
  • 9. Python for Data Visualization - Seaborn/2. Distribution Plots.mp4 53.9 MB
  • 11. Python for Data Visualization - Plotly and Cufflinks/2. Plotly and Cufflinks.mp4 53.6 MB
  • 13. Data Capstone Project/4. 911 Calls Solutions - Part 2.mp4 52.2 MB
  • 24. Natural Language Processing/6. NLP Project Solutions.mp4 50.4 MB
  • 20. Support Vector Machines/2. Support Vector Machines with Python.mp4 49.8 MB
  • 13. Data Capstone Project/7. Finance Project - Solutions Part 1.mp4 49.6 MB
  • 21. K Means Clustering/4. K Means Project Solutions.mp4 49.4 MB
[磁力链接] 添加时间:2021-03-14 大小:4.1 GB 最近下载:2025-11-01 热度:972

[ DevCourseWeb.com ] Udemy - Excel for Data Science and Machine Learning

  • ~Get Your Files Here !/4. Logistic Regression/4. Applying Logistic Regression in Excel.mp4 111.8 MB
  • ~Get Your Files Here !/4. Logistic Regression/7. Understanding the Logistic Regression Summary (Part 2).mp4 98.4 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/9. Interpreting Regression Tables (Part 2).mp4 98.0 MB
  • ~Get Your Files Here !/1. Introduction/1. What Is Machine Learning.mp4 93.8 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/7. Interpreting Regression Tables (Part 1).mp4 89.3 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/2. Multiple Linear Regression (Example).mp4 87.2 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/3. Mutiple Linear Regression (Results).mp4 80.5 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/10. Interpreting Regression Tables (Part 3).mp4 78.1 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/5. First Regression in Excel.mp4 74.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/2. From Linear to Logistic Regression.mp4 71.9 MB
  • ~Get Your Files Here !/4. Logistic Regression/8. ROC Curve.mp4 59.6 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/10. Dummy Variables.mp4 57.7 MB
  • ~Get Your Files Here !/4. Logistic Regression/6. Logistic Regression with XReal.mp4 56.8 MB
  • ~Get Your Files Here !/1. Introduction/2. Types of Machine Learning.mp4 48.7 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/11. Making Predictions Using Linear Regression.mp4 44.8 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/7. OLS Assumptions Normality and Homoscedasticity.mp4 35.2 MB
  • ~Get Your Files Here !/2. Simple Linear Regression/2. Linear Regression.mp4 32.0 MB
  • ~Get Your Files Here !/3. Multiple Linear Regression/9. OLS Assumptions No Multicollinearity.mp4 29.6 MB
  • ~Get Your Files Here !/4. Logistic Regression/5. Interpreting Regression Coefficients.mp4 29.3 MB
  • ~Get Your Files Here !/4. Logistic Regression/9. Underfitting and Overfitting.mp4 28.5 MB
[磁力链接] 添加时间:2022-02-28 大小:1.6 GB 最近下载:2025-11-02 热度:971

[FreeCourseSite.com] Udemy - Machine Learning & Data Science A-Z Hands-on Python 2021

  • 06 Supervised Learning - Regression/008 Random Forest Model Development.mp4 258.2 MB
  • 05 Supervised Learning - Classification/001 Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
  • 05 Supervised Learning - Classification/004 k-NN Training-Set and Test-Set Creation.mp4 239.5 MB
  • 03 Data Preprocessing/006 Missing Values2.mp4 230.0 MB
  • 06 Supervised Learning - Regression/006 Polynomial Linear Regression Model Development.mp4 229.8 MB
  • 06 Supervised Learning - Regression/001 Simple and Multiple Linear Regression Concepts.mp4 222.5 MB
  • 03 Data Preprocessing/003 Statistics2.mp4 217.6 MB
  • 02 Machine Learning Useful Packages (Libraries)/013 Visualization with Matplotlib2.mp4 215.2 MB
  • 02 Machine Learning Useful Packages (Libraries)/011 Pandas4.mp4 212.9 MB
  • 02 Machine Learning Useful Packages (Libraries)/014 Visualization with Matplotlib3.mp4 198.0 MB
  • 03 Data Preprocessing/012 Normalization.mp4 195.9 MB
  • 05 Supervised Learning - Classification/013 Model Evaluation - Calculating with Python.mp4 182.5 MB
  • 06 Supervised Learning - Regression/004 Evaluation Metrics - Implementation.mp4 167.7 MB
  • 03 Data Preprocessing/001 Reading and Modifying a Dataset.mp4 162.1 MB
  • 02 Machine Learning Useful Packages (Libraries)/006 NumPy5.mp4 160.1 MB
  • 07 Unsupervised Learning - Clustering Techniques/010 Hierarchical Clustering Model Development.mp4 153.0 MB
  • 02 Machine Learning Useful Packages (Libraries)/015 Visualization with Matplotlib4.mp4 149.9 MB
  • 05 Supervised Learning - Classification/003 k-NN Model Development.mp4 147.5 MB
  • 02 Machine Learning Useful Packages (Libraries)/007 NumPy6.mp4 141.0 MB
  • 08 Hyper Parameter Optimization (Model Tuning)/004 k-NN - Model Tuning.mp4 140.1 MB
[磁力链接] 添加时间:2022-01-10 大小:7.2 GB 最近下载:2025-10-27 热度:943

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-05-14 大小:20.6 GB 最近下载:2025-10-26 热度:922

[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2021

  • 5. Data Science Environment Setup/8. Windows Environment Setup 2.mp4 238.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/7. Typical scikit-learn Workflow.mp4 199.4 MB
  • 9. Scikit-learn Creating Machine Learning Models/8. Optional Debugging Warnings In Jupyter.mp4 184.7 MB
  • 16. Career Advice + Extra Bits/9. CWD Git + Github.mp4 184.7 MB
  • 9. Scikit-learn Creating Machine Learning Models/41. Tuning Hyperparameters.mp4 184.3 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/32. Training Your Deep Neural Network.mp4 174.7 MB
  • 16. Career Advice + Extra Bits/3. What If I Don't Have Enough Experience.mp4 168.8 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/8. Feature Engineering.mp4 166.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/34. Make And Transform Predictions.mp4 162.5 MB
  • 9. Scikit-learn Creating Machine Learning Models/48. Putting It All Together.mp4 157.9 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/21. Turning Data Into Batches 2.mp4 156.7 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/9. Turning Data Into Numbers.mp4 153.3 MB
  • 5. Data Science Environment Setup/5. Mac Environment Setup.mp4 151.4 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/37. Visualizing And Evaluate Model Predictions 2.mp4 150.8 MB
  • 9. Scikit-learn Creating Machine Learning Models/16. Choosing The Right Model For Your Data.mp4 150.2 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/21. Feature Importance.mp4 149.2 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/41. Making Predictions On Test Images.mp4 147.7 MB
  • 14. Neural Networks Deep Learning, Transfer Learning and TensorFlow 2/40. Training Model On Full Dataset.mp4 146.6 MB
  • 12. Milestone Project 2 Supervised Learning (Time Series Data)/19. Preproccessing Our Data.mp4 146.1 MB
  • 11. Milestone Project 1 Supervised Learning (Classification)/10. Finding Patterns 3.mp4 144.6 MB
[磁力链接] 添加时间:2021-04-19 大小:20.6 GB 最近下载:2025-04-12 热度:919


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